TheSequence
In this issue: we explain what few-shot learning is; we explore prototypical networks as one of the most popular few-shot learning architectures; we present TorchMeta – the OpenAI Gym of Meta-Learning. 💡 ML Concept of the Day: What is Few-Shot Learning?
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AutoML recap is a collection of ten issues where we covered the evolution of the Automated Machine Learning (AutoML) space, the most relevant concepts,…
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What’s New in AI, a deep dive into one of the freshest research papers or technology frameworks that are worth your attention. Our goal is to keep you …
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There is nothing more inspiring than to learn from practitioners. Getting to know the experience gained by researchers, engineers and entrepreneurs doi…
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In this issue: we discuss what a Feature Store is; we tell the story of how Uber Michelangelo began the Feature Store movement; we explore the feature …
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Building ML fairness constructs is brutally hard...
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What’s New in AI, a deep dive into one of the freshest research papers or technology frameworks that are worth your attention. Our goal is to keep you …
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Interviews
Adam Wenchel/Arthur AIAbout ML explainability, interpretability, and fairness
Mike Del Balso/Tecton"There is too much depth in this space for feature stores to be just a “feature”
Manu Sharma/Labelbox The future of data labeling automation
Jim Dowling/Logical Clocks ABThe future of feature stores
Justin Harris/Microsoft"My vision is for people to be compensated for the data they provide while keeping models free to use"
Jan Beitner/PyTorch Forecasting" I believe deep learning models will become the method of choice for time-series forecasting"
Krishna Gade/FiddlerChallenges with model explainability
Iskandar Sitdikov/ProvectusHealthcare has it all: NLP, computer vision, recommendations, and a whole lot more

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